10 results about "ProteinChips" patented technology

The utility model relates to the field of automatic product quality inspection, in particular to an automatic protein chip quality inspection device based on machine vision. Comprising the steps that an X-axis moving platform drives a camera to horizontally move in the X-axis direction, a Y-axis moving platform drives a bearing tray to horizontally move in the Y-axis direction, the camera is fixed to the X-axis moving platform, the bearing tray is used for bearing a protein chip, and the camera is in communication connection with a PC terminal to transmit image data; a positioning calibration module is further arranged to compensate mechanical errors, a light source module provides a detection light source, and the surface of the bearing tray is provided with an anti-skid coating and / or a positioning groove. And the PC end configures an image splicing control module to splice the local images of the blocks into a global view in combination with the position encoder. The technical effects that automatic quality inspection of the protein chip is achieved, the quality inspection efficiency and accuracy are improved, the stability of the chip during movement is ensured, and a complete chip image is obtained are achieved.

The utility model discloses a fixing device of a protein detection chip, which comprises a table body, the top end of the table body is fixedly connected with a table top, the top end of the table top is fixedly provided with a placing table, two sides of the top end of the table top are fixedly provided with two clamping parts, and the rear part of the top end of the table top is provided with a moving mechanism. According to the fixing device for the protein detection chip, the clamping part is arranged, so that the protein detection chip can be clamped and fixed, the size and the thickness of the chip can be adjusted, and the length of the telescopic end of the air cylinder is adjusted to meet the requirement for clamping chips of different sizes; the vertical sliding of the upper clamping block is adjusted to meet the requirement for clamping chips with different thicknesses, higher adaptive capacity is achieved to adapt to protein detection chips with different specifications, the optical detector can be moved to any point above the placement table by arranging the moving mechanism, the optical detector has higher moving freedom degree, and the detection efficiency is improved. Meanwhile, the detection work of protein chips with different specifications can be met.

The invention provides a lung tumor early warning protein chip and application thereof. The protein chip comprises an antigen group, the antigen group comprises an antigen; the antibody corresponding to the antigen is p53, NY-ESO-1, CAGE, GBU4-5, SOX2, HuD, MAGE A4, SARS, ZPR1, FAM131A, GGA3, PRKCZ, HDAC1, GOLPH3, NSG1, CD84, EEA1, CEA, CYFRA211 and the like; the protein chip is used for early warning and evaluation of lung tumors, and the early warning and evaluation comprises the following steps: collecting serum of a to-be-detected crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-detected crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by a high-throughput technology, and is used for risk early warning detection of lung tumors.

This invention discloses a method and system for identifying the origin and year of dried tangerine peel based on multi-biomimetic sensor fusion. The method includes: acquiring at least two biosensor response signals of the tangerine peel to be tested, wherein the at least two biosensor response signals include a first response signal from an olfactory receptor protein chip and a second response signal from a neuron chip; inputting the first and second response signals into a pre-trained first classification model and a second classification model respectively to obtain a first and second predicted origin and / or year corresponding to the tangerine peel to be tested; fusing the first and second predicted origin and / or year results, and outputting the origin and / or year identification result of the tangerine peel to be tested based on the fused result. This invention significantly improves the accuracy, reliability, and reproducibility of identifying the origin and year of dried tangerine peel, and achieves rapid, non-destructive on-site detection.

The application provides a protein chip for early warning of breast cancer and application thereof, the protein chip comprises an antigen group; the antigen group comprises antigens; antibodies corresponding to the antigens are at least one of 111 kinds of AKAP4, BRCA2, CIP2A, GIPC1, P53, SOX2, A1AT, ANGPTL4, BRAF, C1D, LRRC26 and the like; the protein chip is used for early warning and evaluation of breast cancer; steps of the early warning and evaluation include collecting serum of a to-be-tested crowd, detecting the serum by using the protein chip to obtain detection data, and then judging whether the to-be-tested crowd belongs to a low-risk, medium-risk or high-risk crowd according to a risk early warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals by using a high-throughput technology, and is used for risk early warning detection of breast cancer.

The invention discloses an early warning evaluation method based on canceration caused by pulmonary nodule immune microenvironment imbalance, which comprises the following steps: S1, acquiring autoantibody detection data of normal, pulmonary nodule and lung cancer people from a database, and establishing a pulmonary nodule canceration data set Panne l containing 159 autoantibodies as risk early warning factors of pulmonary nodule canceration; s2, preparing a lung cancer risk factor Panne l protein chip according to the Panne l data, wherein the lung cancer risk factor Panne l protein chip comprises antigen proteins of 159 lung cancer related autoantibodies; s3, using a Panne l protein chip to detect the serum of the crowd; and S4, according to the detection data, establishing a risk early warning model of pulmonary nodule canceration for the analysis and early warning of the lung cancer occurrence risk of the crowd (mainly aiming at the pulmonary nodule crowd). According to the method, the cancer related autoantibodies are systematically detected through a protein chip method for people with high detection rate of pulmonary nodules in China, and the method is used for early warning of the occurrence risk of pulmonary nodule immune abnormality canceration of people.

The present application relates to the field of forensic science, and specifically relates to a death time prediction method based on a Stacking integrated method and comprehensive multi-omics data, comprising the following steps: collecting rat skeletal muscle samples, using metabolomics, protein chip and infrared spectrum detection technology to extract the expression amount of related biomarkers in the tissue; inputting the expression amount data of the biomarkers into a plurality of basic models respectively to deduce the death time, and screening out a single-omics optimal basic model with the best death time prediction performance; screening out two basic models with the lowest correlation with the single-omics optimal basic model to jointly construct a single-omics Stacking model; and connecting the above single-omics Stacking integrated model in series to construct a multi-omics integrated model. The present application provides a new method and new idea for predicting death time by combining multi-omics multi-molecular markers, and lays a foundation for applying a multi-omics joint machine learning model to death time deduction practice.

The application belongs to the field of microfluidic protein chips, and specifically discloses a microfluidic protein chip for allergen detection, which comprises a sample adding area and a microfluidic unit, the microfluidic unit comprises a dilution area, a premixing area, a labeling area, a quantification area and a detection area which are connected in sequence, wherein the sample adding area comprises a first sample adding area and a second sample adding area, the first sample adding area is used for adding a whole blood sample, and the second sample adding area is used for adding a serum or plasma sample, different samples can be distinguished and processed; the first sample adding area is designed ingeniously by setting a capillary channel as a valve; a vibrator is arranged in the premixing area to drive a mixing ball to vibrate, so that the mixing efficiency is improved, the mixing of the sample and the diluent is more sufficient, the mixing time is reduced, and the difference of detection results is reduced; the detection result difference is further reduced through quantification of each sub-quantification area; and the labeling area and the detection area can be coated with multiple antibodies, and detection of multiple to-be-detected substances can be simultaneously performed.

This invention provides a protein chip for early warning of liver cancer and its application. The protein chip includes an antigen set; the antigen set includes antigens; the antibodies corresponding to the antigens are at least one of 61 selected from GNA11, GNAS, IDH1, MSH2, NPM1, PAX5, PTCH1, PTEN, SRSF2, Survivin, CAST, PAIP1, PRKCZ, RAD23A, RUNX1T1, SARS, TP53, APEX2, RCSD1, and AIF1; the protein chip is used for early warning assessment of liver cancer, and the early warning assessment steps include: collecting serum from the target population, using the protein chip to detect the serum to obtain detection data, and then determining whether they belong to a low-risk, medium-risk, or high-risk population based on a risk warning model; the protein chip systematically detects tumor-related autoantibody risk factor signals using high-throughput technology for early warning detection of liver cancer.

The application provides a background noise suppression system for a microarray protein chip, and relates to the technical field of chip detection, and comprises a collection module, which is used for collecting an original fluorescence image of the microarray protein chip by a laser confocal scanner at a preset excitation power, and taking the original fluorescence image as a to-be-processed signal matrix; an extraction module, which is used for locating three reference entities pre-solidified on a chip substrate from the to-be-processed signal matrix, the three reference entities being located at non-array regions of the upper left corner, the center point and the lower right corner of the chip respectively, and each reference entity being composed of inert fluorescent microspheres with a known concentration; and the mean values of the fluorescence intensities of local windows where the three reference entities are located are extracted respectively as discrete sampling values of spatial heterogeneity background noise. The application improves the low-abundance protein signal detection rate, reduces the quantitative deviation of the array edge, and improves the detection repeatability and quantitative accuracy.